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A new algorithm is introduced for broadband macromodelling of passive electronic components from frequency response data. It modifies the vector fitting algorithm in such a way that the L1 norm of the approximation error is minimised, rather than the L2 norm. It is shown that this approach is more robust towards outliers in the data

Improving robustness of vector fitting to outliers in data